Resumen
The use of edge computing techniques can be extremely beneficial to distributed applications when is it more efficient to process data in proximity to data sources than to transmit data to remote computational resources. The introduction of edge computing has created a number of communication challenges beyond what is typically experienced in the traditional client-server model. While the area of edge computing is in its infancy, few existing implementations address the wide-range of issues related to multi-protocol discovery, identity, messaging, security, and stateful operation of agents operating across heterogeneous computational and network architectures.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019 |
| Páginas | 387-392 |
| Número de páginas | 6 |
| ISBN (versión digital) | 9781728129778 |
| DOI | |
| Estado | Published - nov 2019 |
| Evento | 2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019 - Orlando, United States Duración: nov 10 2019 → nov 12 2019 |
Serie de la publicación
| Nombre | Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019 |
|---|
Conference
| Conference | 2nd IEEE International Conference on Industrial Internet Cloud, ICII 2019 |
|---|---|
| País/Territorio | United States |
| Ciudad | Orlando |
| Período | 11/10/19 → 11/12/19 |
Nota bibliográfica
Publisher Copyright:© 2019 IEEE.
Financiación
ACKNOWLEDGMENT This material is based upon work supported by the National Science Foundation under Grant No. ACI-1450937 Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
| Financiadores | Número del financiador |
|---|---|
| National Science Foundation Arctic Social Science Program | ACI-1450937 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems and Management
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality